1887

Abstract

Summary

Alkaline-Surfactant-Polymer (ASP) flooding, which is classified as chemical EOR (Enhanced Oil Recovery) technique, has a great potential to recover an additional 10–25% of the oil in place, as demonstrated during various field pilot tests. A typical ASP flooding comprises of three stages: main ASP slug, polymer post slug and finally a water slug. The surfactant reduces the interfacial-tension between the displacing fluid and oil, the alkaline reduces the surfactant adsorption and creates in-situ natural surfactant, and the polymer decreases the water to oil mobility ratio. However, the deposition of inorganic scales directly attributed to geochemical processes during ASP flooding can significantly impact the viability of ASP floods.

ASP flooding has economic limitations due to the large volumes of chemicals injected. Therefore, technical and economical feasibility of ASP flooding depends on the effective use of the injected chemicals and slug formulation. The main purpose of this paper is to describe the automatic optimisation of ASP flooding designs using an optimization algorithm, in particular, PSO (Particle Swarm Optimization). The algorithm identifies the most efficient optimum ASP design for a given set of criteria, specifically minimizing the total chemical expense and the scaling risk, and maximizing the oil revenue and NPV (Net Present Value).

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/content/papers/10.3997/2214-4609.201700325
2017-04-24
2020-07-06
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References

  1. Alkhatib, A., Babaei, M., & King, P. R.
    , 2013. Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation. SPE Journal vol. 18, 04, pp. 721 – 735.
    [Google Scholar]
  2. Abadli, F.
    , 2012. Simulation Study of Enhanced Oil Recovery by ASP (Alkaline, Surfactant and Polymer) Flooding for Norne Field C-segment, MSc Thesis Norwegian University of Science and Technology.
    [Google Scholar]
  3. Al-AmrieO., PeltierS., PearceA., Al-YafeiA., MorelD., BourrelM., BursauxR., CordelierP., JouenneS., JuillaH., KlimenkoA., LevittD., NguyenM.
    , 2015. The First Successful Chemical EOR Pilot in the UAE: One Spot Pilot in High Temperature, High Salinity Carbonate Reservoir. SPE 177514, Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE.
    [Google Scholar]
  4. Al-Hashim, H.S., Obiora, V., Al-Yousef, H.Y., Fernandez, F., Nofal, W.
    , 1996. Alkaline surfactant polymer formulation for Saudi Arabian carbonate reservoirs. SPE 35353 Improved Oil Recovery Symposium, Tulsa, Oklahoma.
    [Google Scholar]
  5. , 1996. Alkaline surfactant polymer formulation for Saudi Arabian carbonate reservoirs. SPE 35353 Improved Oil Recovery Symposium, Tulsa, Oklahoma.
    [Google Scholar]
  6. Amjad, Z. and Zuhl, R.W.
    , 2008. An evaluation of silica scale control additives for industrial water systems. Proceeding of the CORROSION 2008, New Orleans.
    [Google Scholar]
  7. Arensdorf, J. J., Hoster, D., McDougall, D. B., & Yuan, M.
    , 2010. Static and Dynamic Testing of Silicate Scale Inhibitors. SPE 132212, International Oil and Gas Conference and Exhibition in China, Beijing, China.
    [Google Scholar]
  8. Bataweel, M.A., Nasr-El-Din, H.A.
    , 2011. Alternatives to minimize scale precipitation in carbonate cores caused by alkalis in asp flooding in high salinity/high temperature applications, SPE 143155 Proceeding of the SPE European Formation Damage Conference. Noordwijk, The Netherlands.
    [Google Scholar]
  9. Bourrel, M., Salager, J.L., Schechter, R.S., Wade, W.H.
    , 1980. A correlation for phase behavior of nonionic surfactants. J. Colloid Interface Sci., 75 (2), pp. 451–461.
    [Google Scholar]
  10. Carrero, E., N. V.Queipo, S.Pintos and L. E.Zerpa
    , 2007. Global sensitivity analysis of Alkali-Surfactant-Polymer enhanced oil recovery processes. Journal of Petroleum Science and Engineering58(1–2): 30–42.
    [Google Scholar]
  11. Castor, T. P.; Somerton, W. H.; Kelly, J. F.
    , 1981. In Surface Phenomena in Enhanced Oil Recovery; Shah, D., Ed.; SpringerUS, p 249.
    [Google Scholar]
  12. Cheng, K. H.
    , 1986. Chemical Consumption During Alkaline Flooding: A Comparative Evaluation, paper SPE 14944 Society of Petroleum Engineers.
    [Google Scholar]
  13. Falls, A.H., Thigpen, D.R., Nelson, R.C., Ciaston, J.W., Lawson, J.B., Good, P.A., Ueber, R.C. and Shahin. G.T.
    , 1994. Field test of cosurfactant-enhanced alkaline flooding, paper SPE 12672 Society of Petroleum Engineers.
    [Google Scholar]
  14. Fortenberry, R. P., Kim, D. H., Nizamidin, N., Adkins, S., Pinnawala Arachchilage, G. W. P., Koh, H. S., Pope, G. A.
    , 2013. Use of Co-Solvents to Improve Alkaline-Polymer flooding, paper 166478 SPE Society of Petroleum Engineers.
    [Google Scholar]
  15. Fortenberry, R., Suniga, P., Mothersele, S., Delshad, M., Lashgari, H., & Pope, G. A.
    , 2015. Selection of a Chemical EOR Strategy in a Heavy Oil Reservoir Using Laboratory Data and Reservoir Simulation, SPE 174520 Society of Petroleum Engineers.
    [Google Scholar]
  16. Glasbergen, G., Wever, D., Keijzer, E., & Farajzadeh, R.
    , 2015. Injectivity Loss in Polymer Floods: Causes, Preventions and Mitigations. SPE 175383, SPE Kuwait Oil & Gas Show and Conference, Mishref, Kuwait.
    [Google Scholar]
  17. Hernandez, C., L. J.Chacon, L.Anselmi, A.Baldonedo, J.Qi, P. C.Dowling and M. L.Pitts
    (2003). “ASP system design for an offshore application in La Salina Field, Lake Maracaibo.” SPE Reservoir Evaluation and Engineering6(3): 147–156.
    [Google Scholar]
  18. Hirasaki, G.J., van Domselaar, H.R., Nelson, R.C.
    , 1983. Evaluation of the Salinity Gradient Concept in Surfactant Flooding. SPE Journal, June: 486–500.
    [Google Scholar]
  19. Johnson, C. E.
    , 1976. Status of Caustic and Emulsion Methods. Journal of Petroleum Technology, Vol. 28, Issue 01, pp. 85–92.
    [Google Scholar]
  20. Karazincir, O., Thach, S., Wei, W., Prukop, G., Malik, T., & Dwarakanath, V.
    , 2011. Scale Formation Prevention during ASP Flooding, paper SPE 141410 Society of Petroleum Engineers.
    [Google Scholar]
  21. Kennedy, J. & Russell, E.
    , 1995. Particle Swarm Optimization. Piscataway, IEEE Service Center.
    [Google Scholar]
  22. Leonhardt, B., SantaM., SteigerwaldA., KaepplerT.
    , 2015. Polymer Flooding with the Polysaccharide Schizophyllan - First Field Trial Results. 18th European Symposium on Improved Oil Recovery, Dresden, Germany.
    [Google Scholar]
  23. Levitt, D. B., Pope, G. A., Jouenne, S.
    , 2011a. Chemical Degradation of Polyacrylamide Polymers under Alkaline Conditions. SPE Reservoir Evaluation & Engineering, Vol. 14, Issue 03, pp. 281 – 286.
    [Google Scholar]
  24. Levitt, D.B., Chamerois, M.B., Gauer, P., Morel, D.
    , 2011b. The effect of a Non-Negative Salinity Gradient on ASP Flood Performance. SPE 144938, SPE EOR Conference, Kuala Lumpur, Malaysia.
    [Google Scholar]
  25. Levitt, D. B., Klimenko, A., JouenneS., Passade-BoupatN., CordelierP., MorelD., BourrelM.
    , 2016. Designing and Injecting a Chemical Formulation for a Successful Off-Shore Chemical EOR Pilot in a High-Temperature, High-Salinity, Low-Permeability Carbonate Field. SPE 179679, SPE Improved Oil Recovery Conference. Tulsa, Oklahoma, USA.
    [Google Scholar]
  26. Lotfollahi, M, KohH., LiZ., DelshadM., Pope, G.A.
    , 2016. Mechanistic Simulation of Residual Oil Saturation in Viscoelastic Polymer Floods. SPE 179844, SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman.
    [Google Scholar]
  27. Maerker, J. M., and Gale, W. W.
    , 1992. Surfactant Flood Process Design for Loudon. SPE Reservoir Engineering, vol.7 (01), pp. 36–44.
    [Google Scholar]
  28. Manrique, E., De Carvajal, G., Anselmi, L., Romero, C., Chacón, L.
    , 2000. Alkali/surfactant/polymer at VLA 6/9/21 field in Maracaibo Lake: experimental results and pilot project design, paper SPE 59363 Presented at the SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma.
    [Google Scholar]
  29. Martin, F. D., Sherwood, N. S.
    , 1975. The Effect of Hydrolysis of Polyacrylamide on Solution Viscosity, Polymer Retention and Flow Resistance Properties, paper SPE 5339 Society of Petroleum Engineers.
    [Google Scholar]
  30. Mohamed, L., Christie, M., Demyanov, V.
    , 2010a. Comparison of Stochastic Sampling Algorithms for Uncertainty Quantification, SPE Journal Vol. 15, Num. 1, pp. 31–38.
    [Google Scholar]
  31. , 2010b. Reservoir Model History Matching with Particle Swarms: Variants Study, SPE 129152 presented at SPE Oil and Gas India Conference and Exhibition, 20–22 January, Mumbai, India.
    [Google Scholar]
  32. Moreno, R., Anselmi, L. Coombe, D., Card, C., Cols, I.
    , 2003. Comparative mechanistic simulations to design an ASP field pilot in La Salina, Venezuela, paper CIM-199 presented at the Canadian International Petroleum Conference, Jun 10–12, Calgary, Alberta.
    [Google Scholar]
  33. Nelson, R. C., Pope, G. A.
    , 1978. Phase Relationships in Chemical Flooding. SPE Journal, Vol. 18, Issue 05, pp. 325–338.
    [Google Scholar]
  34. Olajire, A.A.
    , 2014.Review of ASP EOR (alkaline surfactant polymer enhanced oil recovery) technology in the petroleum industry: Prospects and challenges. Energy77, 963–982.
    [Google Scholar]
  35. Ryles, R. G.
    , 1988. Chemical Stability Limits of Water-Soluble Polymers Used in Oil Recovery Processes. SPE Reservoir Engineering, Vol.3, Issue 01, pp. 23 – 34.
    [Google Scholar]
  36. Pope, G. A.
    , 2011. Recent Developments and Remaining Challenges of Enhanced Oil Recovery. Journal Petroleum Technology.
    [Google Scholar]
  37. Qi, Q., Hongjun, G., Dongwen, L., Ling, D.
    , 2000. The pilot test of ASP combination flooding in Karamay oil field, paper SPE 64726 Presented at the SPE International Oil and Gas Conference an Exhibition, Beijing, China.
    [Google Scholar]
  38. Reyes-Sierra, M. & Coello Coello, C. A.
    , 2006. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art. International Journal of Computational Intelligence Research, 2(3), pp. 287–308.
    [Google Scholar]
  39. Ryles, R. G.
    , 1988. Chemical Stability Limits of Water-Soluble Polymers Used in Oil Recovery Processes. SPE Reservoir Engineering, Vol.3, Issue 01, pp. 23 – 34.
    [Google Scholar]
  40. Salager, J.L., Morgan, J., Schechter, R.S., Wade, W.H., Vasquez, E.
    , 1979. Optimum formulation of surfactant-oil-water systems for minimum tension and phase behavior, Soc. Pet. Eng. J., 19, pp. 107–115.
    [Google Scholar]
  41. Sharma, A., Azizi-Yarand, A., Clayton, B., Baker, G., Mckinney,P., Britton, C., Delshad, M., Pope, G.
    , 2013. The Design and Execution of an Alkaline/Surfactant/Polymer Pilot Test. Spe Reservoir Evaluation & Engineering, Vol.16, Issue 04, pp. 423 – 431.
    [Google Scholar]
  42. Sharma, H., Weerasooriya, U., Pope, G. A., & Mohanty, K. K.
    , 2014. Ammonia-Based ASP Processes for Gypsum-Containing Reservoirs, paper SPE 170825 Society of Petroleum Engineers.
    [Google Scholar]
  43. Sheng, J. J.
    , 2013. A Comprehensive Review of Alkaline-Surfactant-Polymer (ASP) flooding, paper SPE 165358 Society of Petroleum Engineers.
    [Google Scholar]
  44. , 2015. Status of surfactant EOR technology, Petroleum, 1, 97.
    [Google Scholar]
  45. Sorbie, K. S.
    1991. Polymer Improved Oil Recovery; Blackie.
    [Google Scholar]
  46. Southwick, J. G., van den Pol, E., van Rijn, C. H. T., van Batenburg, D. W., Boersma, D. M., Svec, Y., Raney, K.
    , 2014. Ammonia as Alkali for ASP Floods - Comparison to Sodium Carbonate, paper SPE 169057 Society of Petroleum Engineers.
    [Google Scholar]
  47. Standnes, D. C., Skjevrak, I.
    , 2014. Literature review of implemented polymer field projects, Journal of Petroleum Science and Engineering122, pp. 761–775.
    [Google Scholar]
  48. Swiecinski, F., Reed, P., Andrews, W.
    , 2016. The Thermal Stability of Polyacrylamides in EOR Applications, paper SPE 179558 Society of Petroleum Engineers.
    [Google Scholar]
  49. Thomas, A., Gaillard, N., Favero, C.
    , 2013. Some Key Features to Consider When Studying Acrylamide-Based Polymers for Chemical Enhanced Oil Recovery, Oil & Gas Science and Technology – Rev. IFP Energies nouvelles.
    [Google Scholar]
  50. Umar, A.
    (2012). Silicate Scales Formation during ASP Flooding: A Review. Research Journal of Applied Sciences, Engineering and Technology.
    [Google Scholar]
  51. Vazquez, O., Fursov, I., Mackay, E.
    , 2016, Automatic optimization of oilfield scale inhibitor squeeze treatment designs, Journal of Petroleum Science and Engineering, Volume 147, pp 302–307.
    [Google Scholar]
  52. Vazquez, O., Mackay, E., Tjomsland, T., Nygard, O., & Storas, E.
    , 2014. Use of Tracers To Evaluate and Optimize Scale-Squeeze-Treatment Design in the Norne Field. SPE Production & Operations, 29, 1, pp. 5–13.
    [Google Scholar]
  53. Vermolen, E. C. M., van Haasterecht, M. J. T., Masalmeh, S. K.
    , 2014. A Systematic Study of the Polymer Visco-Elastic Effect on Residual Oil Saturation by Core Flooding, paper SPE 169681 Society of Petroleum Engineers.
    [Google Scholar]
  54. Winsor, P.A.
    , 1954. Solvent Properties of Amphiphillic Compounds; Butterworth’s Scientific Publications
    [Google Scholar]
  55. Zaitoun, A., Potie, B.
    , 1983. Limiting Conditions for the Use of Hydrolyzed Polyacrylamides in Brines Containing Divalent Ions, paper SPE 11785 Society of Petroleum Engineers.
    [Google Scholar]
  56. ZakariaN., GhadamiN., BerokS. M. J., SedaralitM., RaubM., ZaulkifliN., ManapA.A.
    , 2016. An Integrated Approach in Designing an Optimum Single Well Chemical Tracer Test of Hardness Tolerance Surfactant-Polymer, First in Offshore Malaysia. IPTC 18858, International Petroleum Technology Conference, Bangkok, Thailand.
    [Google Scholar]
  57. Zerpa, L. E., Queipo, N. V., Pintos, S. & Salager, J.-L.
    , 2005. An optimization methodology of alkaline-surfactant-polymer flooding process using field scale numerical simulation and multiple surrogates. Journal of Petroleum Science and Engineering, Issue 47, pp. 197–208.
    [Google Scholar]
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